H-Index & Metrics Top Publications
Gustavo E. A. P. A. Batista

Gustavo E. A. P. A. Batista

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 32 Citations 9,456 97 World Ranking 7548 National Ranking 216

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

His primary areas of study are Artificial intelligence, Machine learning, Data mining, Dynamic time warping and Class. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Animal ecology and Time series. In the subject of general Machine learning, his work in Class imbalance and Feature is often linked to Simple, Treatment method and Cost curve, thereby combining diverse domains of study.

His Data mining research is multidisciplinary, relying on both Receiver operating characteristic, Missing data, Imputation and Cluster analysis. Gustavo E. A. P. A. Batista interconnects Data stream mining, Pairwise comparison, Bottleneck, Nearest neighbor search and Search algorithm in the investigation of issues within Dynamic time warping. In his research on the topic of Class, Decision tree is strongly related with Training set.

His most cited work include:

  • A study of the behavior of several methods for balancing machine learning training data (1795 citations)
  • Searching and mining trillions of time series subsequences under dynamic time warping (626 citations)
  • An analysis of four missing data treatment methods for supervised learning (500 citations)

What are the main themes of his work throughout his whole career to date?

Artificial intelligence, Machine learning, Data mining, Pattern recognition and Classifier are his primary areas of study. The Artificial intelligence study combines topics in areas such as Class, Data stream and Time series. His research in Machine learning intersects with topics in Bottleneck and Training set.

Gustavo E. A. P. A. Batista has included themes like Ranking, Time series classification and Missing data, Imputation in his Data mining study. His Pattern recognition research incorporates elements of Time domain and Representation. The various areas that Gustavo E. A. P. A. Batista examines in his Classifier study include Classifier, Area under the roc curve and Word error rate.

He most often published in these fields:

  • Artificial intelligence (64.23%)
  • Machine learning (46.34%)
  • Data mining (34.15%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (64.23%)
  • Data stream mining (13.82%)
  • Data mining (34.15%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Artificial intelligence, Data stream mining, Data mining, Algorithm and Pattern recognition. His Artificial intelligence study incorporates themes from Data stream and Machine learning, Time series. His study ties his expertise on Class together with the subject of Machine learning.

His work on Concept drift as part of general Data mining research is frequently linked to Simple, Sample mean and sample covariance, Statistical difference and Quantification methods, thereby connecting diverse disciplines of science. Within one scientific family, Gustavo E. A. P. A. Batista focuses on topics pertaining to Tree under Pattern recognition, and may sometimes address concerns connected to Data point and Training set. Gustavo E. A. P. A. Batista focuses mostly in the field of Dynamic time warping, narrowing it down to topics relating to Image warping and, in certain cases, Pruning, Distance measures, Range and Nearest neighbor search.

Between 2015 and 2021, his most popular works were:

  • Speeding up all-pairwise dynamic time warping matrix calculation (69 citations)
  • Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test (52 citations)
  • Speeding up similarity search under dynamic time warping by pruning unpromising alignments (34 citations)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

A study of the behavior of several methods for balancing machine learning training data

Gustavo E. A. P. A. Batista;Ronaldo C. Prati;Maria Carolina Monard.
Sigkdd Explorations (2004)

3029 Citations

An analysis of four missing data treatment methods for supervised learning

Gustavo E. A. P. A. Batista;Maria Carolina Monard.
Applied Artificial Intelligence (2003)

885 Citations

Searching and mining trillions of time series subsequences under dynamic time warping

Thanawin Rakthanmanon;Bilson Campana;Abdullah Mueen;Gustavo Batista.
knowledge discovery and data mining (2012)

795 Citations

A Study of K-Nearest Neighbour as an Imputation Method.

Gustavo E. A. P. A. Batista;Maria Carolina Monard.
HIS (2002)

418 Citations

Class Imbalances versus Class Overlapping: An Analysis of a Learning System Behavior

Ronaldo C. Prati;Gustavo E. A. P. A. Batista;Maria Carolina Monard.
mexican international conference on artificial intelligence (2004)

386 Citations

A Complexity-Invariant Distance Measure for Time Series.

Gustavo E. A. P. A. Batista;Xiaoyue Wang;Eamonn J. Keogh.
siam international conference on data mining (2011)

367 Citations

CID: an efficient complexity-invariant distance for time series

Gustavo E. Batista;Eamonn J. Keogh;Oben Moses Tataw;Vinícius M. Souza.
Data Mining and Knowledge Discovery (2014)

276 Citations

Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences Under Dynamic Time Warping

Thanawin Rakthanmanon;Bilson Campana;Abdullah Mueen;Gustavo Batista.
ACM Transactions on Knowledge Discovery From Data (2013)

232 Citations

Balancing Training Data for Automated Annotation of Keywords: a Case Study.

Gustavo E. A. P. A. Batista;Ana L. C. Bazzan;Maria Carolina Monard.
WOB (2003)

215 Citations

Class imbalance revisited: a new experimental setup to assess the performance of treatment methods

Ronaldo C. Prati;Gustavo E. Batista;Diego F. Silva.
Knowledge and Information Systems (2015)

157 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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